onnxruntime/winml/lib/Api
Sheil Kumar 84c1340f9b
Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836)
* refactor tensor buffers to make cleaner

* refactor to make tensor backing buffer implementation smaller and cleaner

* missed virtual on destructor

* remove unnecessary static_pointer_cast

* add string vector accessor

Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
2020-11-18 14:56:47 -08:00
..
impl Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
inc
pch
FeatureValues.h
ImageFeatureDescriptor.cpp
ImageFeatureDescriptor.h
ImageFeatureValue.cpp
ImageFeatureValue.h
LearningModel.cpp
LearningModel.h
LearningModelBinding.cpp
LearningModelBinding.h
LearningModelDevice.cpp
LearningModelDevice.h
LearningModelEvaluationResult.cpp
LearningModelEvaluationResult.h
LearningModelSession.cpp
LearningModelSession.h
LearningModelSessionOptions.cpp
LearningModelSessionOptions.h
MapFeatureDescriptor.cpp
MapFeatureDescriptor.h
NumericData.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
SequenceFeatureDescriptor.cpp
SequenceFeatureDescriptor.h Fork the WinML APIs into the Microsoft namespace (#3503) 2020-04-17 06:18:54 -07:00
StringData.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
TensorFeatureDescriptor.cpp
TensorFeatureDescriptor.h
VectorBackedBuffer.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
VectorBackedBuffer.h Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00